I recently took over a codebase and conducted my first detailed dependency audit. I've got about 80 direct dependencies, which seem manageable, but the transitive dependencies reach a whopping 1,400! Many haven't been updated in years, and there are abandoned packages with open vulnerabilities that haven't been addressed due to inactive maintainers.
I've got a compliance review coming up in six weeks, which requires me to generate a Software Bill of Materials (SBOM). The problem is that my scanner flags all issues as high severity with no insight into what's actually affecting the application versus what's just lingering in the dependency tree. This situation makes creating a useful SBOM really difficult.
Most of the security guidelines I find are based on the assumption that you're starting with a clean slate, but I'm dealing with a chaotic mess that's four years old. How do I prioritize what needs fixing, and what strategies can I use to produce the SBOM under these less-than-ideal circumstances?
5 Answers
When it comes to audits, the key focuses are your processes and awareness, not just eliminating every vulnerability. Make sure to document your findings and outline a plan for fixing issues as best as you can.
Your issue with severity ratings is a common one. Consider using reachability analysis tools, which can help determine if your application is actually using the vulnerable packages. This can help narrow down the list of actionable items significantly, letting you focus on what truly matters.
The audit phase can feel overwhelming! I suggest treating it as a triage exercise: identify and secure anything directly reachable, document the rest, and create a practical remediation list instead of trying to tackle the entire dependency tree at once. Auditors usually prefer to see ownership of risks over a perfectly tidy dependency list.
For your compliance review, creating an SBOM that reflects actual risks is more valuable than a spotless one. Auditors want to see that you have a process in place for managing dependencies, so clearly document how you’re prioritizing and categorizing risks.
Depending on the language of your codebase, this could be the right time to leverage an LLM (Large Language Model) to help navigate through the mess. These tools can suggest where to focus your efforts or even help devise a structured approach to address the dependencies.
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